Alameda, Sébastien and Bernon, Carole and Mano, Jean-Pierre Agent-Based Model for Phenotypic Prediction Using Genomic and Environmental Data. (2014) In: International Conference on Practical Applications of Computational Biology & Bioinformatics - PACBB 2014, 4 June 2014 - 6 June 2014 (Salamanca, Spain).
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(Document in English)
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Official URL: http://dx.doi.org/10.1007/978-3-319-07581-5_1
Abstract
One of the means to increase in-éeld crop yields is the use of software tools to predict future yield values using past in-éeld trials and plant genetics. The traditional, statistics-based approaches lack environmental data integration and are very sensitive to missing and/or noisy data. In this paper, we show how using a cooperative, adaptive Multi-Agent System can overcome the drawbacks of such algorithms. The system resolves the problem in an iterative way by a cooperation between the constraints, modelled as agents. Results show a good convergence of the algorithm. Complete tests to validate the provided solution quality are still in progress.
Item Type: | Conference or Workshop Item (Paper) |
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Audience (conference): | International conference proceedings |
Uncontrolled Keywords: | |
Institution: | Université de Toulouse > Université Toulouse III - Paul Sabatier - UT3 (FRANCE) Other partners > UPETEC (FRANCE) |
Statistics: | download |
Deposited On: | 30 Apr 2015 06:54 |
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